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Physical Size Reduction: Silicon Si PiN vs.
IGBT steady-state loss (PSS) uses VCE- IC curve fit data.
IF curve fit data.
(Left) Near Field Radiated EMI 10 db uV / Div 3 MHz / Div -10 db (3.1:1) reduction KE3 / SiC 150 kHz to 30 MHz 150 kHz to 30 MHz reduction with KE3 -SiC -10 db(3.1:1) -10 db (3.1:1) reduction KE3 / SiC 150 kHz to 30 MHz 150 kHz to 30 MHz reduction with KE3 -SiC -10 db(3.1:1) 150 kHz to 30 MHz reduction with KE3 -SiC -10 db(3.1:1) 3 MHz ~ 108 ns 3 MHz to 30 MHz reduction with KE3 -SiC -8 db(2.5:1) 3 MHz ~ 108 ns 3 MHz to 30 MHz reduction with KE3 -SiC -8 db(2.5:1) 3 MHz to 30 MHz reduction with KE3 -SiC -8 db(2.5:1) 10 MHz ~ 32ns - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1) KE3-SiC at 9-12 MHz reduction with -10 db (3.2:1) reduction with KE3 - SiC at 22 - 24 MHz 10 MHz ~ 32ns - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1) KE3-SiC at 9-12 MHz reduction with - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1) KE3-SiC at 9-12 MHz reduction with - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1) KE3
-SiC at 9-12 MHz reduction with -10 db (3.2:1) reduction with KE3 - SiC at 22 - 24 MHz - 6 db (2:1) reduction KE3 / SiC 18-22 MHz - 6 db (2:1) reduction KE3 / SiC 18 -22 MHz with at - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1 ) KE3 /SiC at 9 -12 MHz reduction with - 6 db (2:1) reduction KE3 / SiC 18-22 MHz - 6 db (2:1) reduction KE3 / SiC 18 -22 MHz with at - 6 db (2:1) reduction KE3 / SiC 18-22 MHz - 6 db (2:1) reduction KE3 / SiC 18 -22 MHz with at - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1 ) KE3 /SiC at 9 -12 MHz reduction with - 6db (2:1) reduction KE3 / SiC 9-12 MHz - 6 db (2:1 ) KE3 /SiC at 9 -12 MHz reduction with

Rough set theory is a new mathematical tools of dealing with vagueness and uncertainty, compared with the past to resolve the ambiguity of knowledge theory and methods, it does not require any outside required to handle data collection before experience, but only based on the classification ability of the observational data to address the inaccuracy of the data analysis and processing, as is shown by equation2
In fact, in the face of massive high-dimensional data size, more effective and efficient attribute reduction algorithm for the extraction of knowledge.
Data mining based on rough set theory is in its infancy, data mining and rough set theory research, there are many problems worth exploring, the paper will be a combination of both study certainly there are many imperfections, related work remains to be further study.
Summary The data is the processing center of the core business of most enterprises, a variety of external sources of data within the system to a large increase.
In reality, attribute reduction, information systems for the mitigation of large-scale data sets for enterprise management and decision-making pressure, with a certain degree of practical significance.

For the obtained data, the ODF was calculated using the ODF analysis program (Standard ODF 3.4.1) [11] by the iterative series expansion method. 3 Results and Discussion Fig. 1 Optical microstructures of laminates.
The average, maximum and minimum peel strengths of the laminate with a rolling reduction of 40% was higher than those of a rolling reduction of 50%.
The PE layer of the laminate with a rolling reduction of 40% about 1.6 times is thicker than that of the PE layer of the laminate with a rolling reduction of 50%.
Fig. 5 shows ODF of PE layer in the laminate with a rolling reduction of 40% and 50%.
It is found that PE layer in the laminate with a reduction of 50% is higher in (001) [100] orientation than PE layer in the laminate with a rolling reduction of 40%.

The results indicate that with the pack rolling reduction increased, the grains were elongated more obviously along the rolling direction.
The average grain size decreased to 0.5μm with the sample of the 75% rolling reduction after annealing at 800℃ for 30 minutes.
In addition, the mechanism of the pack rolling on the grain size reduction was analyzed.
In addition, the mechanism of the pack rolling on the grain size reduction is analyzed.
It can be observed from the data that the volume fraction of martensite in the pack rolling plate is lower than that in the direct rolling.

The bandgaps of the films were calculated using measured optical reflection data.
Another reduction peak was observed at -200 mV.
The bulk reduction occurs at -400 mV.
Elem Te Au Cd Total Cd/Te Wt% 5.46 88.25 6.27 100 At% 9.68 81.48 8.82 100 0.9 Fig. 9 is optical reflectance data from a 100-cycle CdTe film.
Fig. 10 is reflectance data from a 100-cycle PbTe film.

This study analyzes the characteristics and reasons of the eco-hydrological evolution based on the 1982 and 2006 phytoplankton and zooplankton survey data[8,9].
Water quality data is from 1998 to 2010, the rainfall data is from 1956 to 2010, and the measured runoff data of Bengbu Gate is from 1956 to 2000.
The reduction of dry season runoff and flood runoff in Bengbu Segment is one of the reasons for the reduction of organisms.
But the mechanism is not clear due to the lack of data in survey data of aquatic organisms.
Due to lack of monitoring data of the Huaihe River aquatic organisms, the article only analyzes the eco-hydrological evolution of Bengbu Segment resulting in some limitations, which needs increasing monitoring points and frequency to strengthen the monitoring efforts of aquatic organisms in the Huaihe River.

Therefore, the aim of present work is to contribute to this problem using Electron Backscatter Diffraction (EBSD) data collected for different states of commercially pure titanium.
Special attention was given to reach statistically representative and trustworthy data.
Obtained data were analyzed with the OIM (Orientation Imaging Map) software from TSL and authors own programs.
EBSD maps of Ti microstructure rolled to 20% of reduction.
Two main peaks are observed for the data obtained from RD-TD surface (Fig. 3).

Wavelet transform was introduced to the thermogravimetric data smoothing and differentiation analysis according to the experiment results, and the orthogonal test method was used to find the optimize wavelet parameter.
For the use of DTG kinetic analysis method, as the DTG data is determined by thermogravimetric data obtained by numerical differentiation, in smaller calculation step conditions, even weaker intensity noise may also be due to differential calculation and the serious distortion of the numerical derivative results, without smoothing TG curve of DTG curve smoothness is very poor, the noise is amplified, the impact on the overall judgment of the trend curve and parameters.
Adaptive wavelet Transform method was used to deal with thermogravimetric experiment data, and the reliability, validity result was contrastive studied compared to all kinds of traditional analysis methods.
Wavelet analysis denoising processing of thermogravimetric data According to the above experiments to get TG curve of grease in 5 ℃ /min, and calculated DTG curves as Fig. 1.
Choose a different threshold rules for noise reduction.

It is important to note however that such microstructures are not uniform, although detailed experimental data concerning the dependence of the deformation microstructure on the crystal orientation are limited.
Microstructures in: (a) S region, 90% reduction; (b) B region, 90% reduction; (c) S region, 90% reduction (the high angle subgrains are highlighted); (d) 98% reduction sample.
These data show a small increase in the fraction of very low misorientations (from 2° to 3°).
One possibility is that this increase is related to the required minimum misorientation boundary definition threshold used in EBSD data analysis.
Further investigation of this will require comparison of EBSD data with transmission electron microscopy data from regions of similar crystal orientation.

Jet generating system consists of three parts : high pressure pump station, walking control mechanism and a nozzle, signal acquisition system signal acquisition system is composed of a sound transducer, high speed data acquisition card and the acquisition and storage system.
In order to collect undistorted transmission of sound signal and carry on the analysis, we use the microphone and sound signal acquisition card to build high-speed real-time data acquisition system.
Hangzhou Aihua and AWA14604 type amplifier are chosen to constitue the sound test unit. and then connected to the BNC multi-function interface box, at last, through the NI company PCI - 6251 data acquisition card, the signal is transported into the computer.
Voice signal acquisition and processing software software are generated by LabVIEW software, the whole data acquisition and analysis system as shown in figure 3 below.
The provision parameters of water jet is as follows: jet pressure is 20 MPa, target distance is 100 mm, injection Angle is 30°,scanning speed is 1200 mm/min, effects of nozzle diameter on test results as shown in Figure 9-11 (data are from left to right, top to bottom).